Desirability/Rarity-based Ranks in the Prediction of Acceptability as a Presurfacing Step for Products

Artificially intelligent systems simulate humanoid qualities in terms of problem-solving by learning, precluding the need for explicit programming. This mimicry of human behavior can be greatly useful in Business Intelligence owing to its potential of predicting how a user group may react to a particular product. This constitutes a Machine Learning task (T), which improves its predictive performance (P) with the increase in experience (E). This...